Gast ::
| Hauptseite > Publikationsdatenbank > Optimized signal deduction procedure for the MIEZE spectroscopy technique > print |
| Hauptseite > Publikationsdatenbank > Optimized signal deduction procedure for the MIEZE spectroscopy technique > print |
| 001 | 907749 | ||
| 005 | 20230222201808.0 | ||
| 024 | 7 | _ | |a 10.1107/S1600576721011936 |2 doi |
| 024 | 7 | _ | |a 0021-8898 |2 ISSN |
| 024 | 7 | _ | |a 1600-5767 |2 ISSN |
| 024 | 7 | _ | |a 2128/31453 |2 Handle |
| 024 | 7 | _ | |a altmetric:119237145 |2 altmetric |
| 024 | 7 | _ | |a 35145354 |2 pmid |
| 024 | 7 | _ | |a WOS:000749998900002 |2 WOS |
| 037 | _ | _ | |a FZJ-2022-02191 |
| 082 | _ | _ | |a 540 |
| 100 | 1 | _ | |a Jochum, J. K. |0 0000-0002-0066-0944 |b 0 |e Corresponding author |
| 245 | _ | _ | |a Optimized signal deduction procedure for the MIEZE spectroscopy technique |
| 260 | _ | _ | |a [S.l.] |c 2022 |b Wiley-Blackwell |
| 336 | 7 | _ | |a article |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1677058436_20617 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 520 | _ | _ | |a A method is reported to determine the phase and amplitude of sinusoidally modulated event rates, binned into four bins per oscillation, based on data generated at the resonant neutron spin-echo spectrometer RESEDA at FRM-II. The presented algorithm relies on a reconstruction of the unknown parameters. It omits a calculation-intensive fitting procedure and avoids contrast reduction due to averaging effects. It allows the current data acquisition bottleneck at RESEDA to be relaxed by a factor of four and thus increases the potential time resolution of the detector by the same factor. The approach is explained in detail and compared with the established fitting procedures of time series having four and 16 time bins per oscillation. In addition the empirical estimates of the errors of the three methods are presented and compared with each other. The reconstruction is shown to be unbiased, asymptotic and efficient for estimating the phase. Reconstructing the contrast increases the error bars by roughly 10% as compared with fitting 16 time-binned oscillations. Finally, the paper gives heuristic, analytical equations to estimate the error for phase and contrast as a function of their initial values and counting statistics. |
| 536 | _ | _ | |a 6G4 - Jülich Centre for Neutron Research (JCNS) (FZJ) (POF4-6G4) |0 G:(DE-HGF)POF4-6G4 |c POF4-6G4 |f POF IV |x 0 |
| 536 | _ | _ | |a 623 - Data Management and Analysis (POF4-623) |0 G:(DE-HGF)POF4-623 |c POF4-623 |f POF IV |x 1 |
| 588 | _ | _ | |a Dataset connected to DataCite |
| 650 | 2 | 7 | |a Instrument and Method Development |0 V:(DE-MLZ)SciArea-220 |2 V:(DE-HGF) |x 0 |
| 650 | 1 | 7 | |a Instrument and Method Development |0 V:(DE-MLZ)GC-2002-2016 |2 V:(DE-HGF) |x 0 |
| 693 | _ | _ | |a Forschungs-Neutronenquelle Heinz Maier-Leibnitz |e RESEDA: Resonance spin echo spectrometer |f NL5S |1 EXP:(DE-MLZ)FRMII-20140101 |0 EXP:(DE-MLZ)RESEDA-20140101 |5 EXP:(DE-MLZ)RESEDA-20140101 |6 EXP:(DE-MLZ)NL5S-20140101 |x 0 |
| 700 | 1 | _ | |a Spitz, L. |0 P:(DE-HGF)0 |b 1 |
| 700 | 1 | _ | |a Franz, C. |0 P:(DE-Juel1)165580 |b 2 |
| 700 | 1 | _ | |a Wendl, A. |0 0000-0001-8899-975X |b 3 |
| 700 | 1 | _ | |a Leiner, J. C. |0 0000-0001-6421-0072 |b 4 |
| 700 | 1 | _ | |a Pfleiderer, C. |0 P:(DE-HGF)0 |b 5 |
| 700 | 1 | _ | |a Soltwedel, O. |0 0000-0002-0007-4865 |b 6 |e Last author |
| 773 | _ | _ | |a 10.1107/S1600576721011936 |g Vol. 55, no. 1, p. 14 - 20 |0 PERI:(DE-600)2020879-0 |n 1 |p 14 - 20 |t Journal of applied crystallography |v 55 |y 2022 |x 0021-8898 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/907749/files/2103.06623.pdf |y OpenAccess |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/907749/files/in5058.pdf |y OpenAccess |
| 909 | C | O | |o oai:juser.fz-juelich.de:907749 |p openaire |p open_access |p driver |p VDB:MLZ |p VDB |p dnbdelivery |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 2 |6 P:(DE-Juel1)165580 |
| 910 | 1 | _ | |a Technische Universität München |0 I:(DE-588b)36241-4 |k TUM |b 5 |6 P:(DE-HGF)0 |
| 910 | 1 | _ | |a Technische Universität München |0 I:(DE-588b)36241-4 |k TUM |b 6 |6 0000-0002-0007-4865 |
| 913 | 1 | _ | |a DE-HGF |b Forschungsbereich Materie |l Großgeräte: Materie |1 G:(DE-HGF)POF4-6G0 |0 G:(DE-HGF)POF4-6G4 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-600 |4 G:(DE-HGF)POF |v Jülich Centre for Neutron Research (JCNS) (FZJ) |x 0 |
| 913 | 1 | _ | |a DE-HGF |b Forschungsbereich Materie |l Materie und Technologie |1 G:(DE-HGF)POF4-620 |0 G:(DE-HGF)POF4-623 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-600 |4 G:(DE-HGF)POF |v Data Management and Analysis |x 1 |
| 914 | 1 | _ | |y 2022 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0160 |2 StatID |b Essential Science Indicators |d 2021-01-29 |
| 915 | _ | _ | |a Creative Commons Attribution CC BY 4.0 |0 LIC:(DE-HGF)CCBY4 |2 HGFVOC |
| 915 | _ | _ | |a DEAL Wiley |0 StatID:(DE-HGF)3001 |2 StatID |d 2021-01-29 |w ger |
| 915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0113 |2 StatID |b Science Citation Index Expanded |d 2021-01-29 |
| 915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
| 915 | _ | _ | |a Nationallizenz |0 StatID:(DE-HGF)0420 |2 StatID |d 2022-11-22 |w ger |
| 915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b J APPL CRYSTALLOGR : 2021 |d 2022-11-22 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |d 2022-11-22 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |d 2022-11-22 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0600 |2 StatID |b Ebsco Academic Search |d 2022-11-22 |
| 915 | _ | _ | |a Peer Review |0 StatID:(DE-HGF)0030 |2 StatID |b ASC |d 2022-11-22 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |d 2022-11-22 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |d 2022-11-22 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1150 |2 StatID |b Current Contents - Physical, Chemical and Earth Sciences |d 2022-11-22 |
| 915 | _ | _ | |a IF < 5 |0 StatID:(DE-HGF)9900 |2 StatID |d 2022-11-22 |
| 920 | _ | _ | |l yes |
| 920 | 1 | _ | |0 I:(DE-Juel1)JCNS-FRM-II-20110218 |k JCNS-FRM-II |l JCNS-FRM-II |x 0 |
| 920 | 1 | _ | |0 I:(DE-588b)4597118-3 |k MLZ |l Heinz Maier-Leibnitz Zentrum |x 1 |
| 920 | 1 | _ | |0 I:(DE-Juel1)JCNS-4-20201012 |k JCNS-4 |l JCNS-4 |x 2 |
| 980 | _ | _ | |a journal |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-Juel1)JCNS-FRM-II-20110218 |
| 980 | _ | _ | |a I:(DE-588b)4597118-3 |
| 980 | _ | _ | |a I:(DE-Juel1)JCNS-4-20201012 |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | 1 | _ | |a FullTexts |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|